open-mmlab/mmdetection v2.14.0 on GitHub

Highlights

Upgrade to use MMCV-full 1.3.8 to use the fix in open-mmlab/mmcv#1120
Add simple_test to dense heads to improve the consistency of single-stage and two-stage detectors
Revert the test_mixins to single image test to improve efficiency and readability
Add Faster R-CNN and Mask R-CNN config using multi-scale training with 3x schedule

Support pretrained models from MoCo v2 and SwAV (#5286)
Add Faster R-CNN and Mask R-CNN config using multi-scale training with 3x schedule (#5179, #5233)
Add reduction_override in MSELoss (#5437)
Stable support of exporting DETR to ONNX with dynamic shapes and batch inference (#5168)
Stable support of exporting PointRend to ONNX with dynamic shapes and batch inference (#5440)

Fix size mismatch bug in multiclass_nms (#4980)
Fix the import path of MultiScaleDeformableAttention (#5338)
Fix errors in config of GCNet ResNext101 models (#5360)
Fix Grid-RCNN error when there is no bbox result (#5357)
Fix errors in onnx_export of bbox_head when setting reg_class_agnostic (#5468)
Fix type error of AutoAssign in the document (#5478)
Fix web links ending with .md (#5315)

Add simple_test to dense heads to improve the consistency of single-stage and two-stage detectors (#5264)
Add support for mask diagonal flip in TTA (#5403)
Revert the test_mixins to single image test to improve efficiency and readability (#5249)
Make YOLOv3 Neck more flexible (#5218)
Refactor SSD to make it more general (#5291)
Refactor anchor_generator and point_generator (#5349)
Allow to configure out the mask_head of the HTC algorithm (#5389)
Delete deprecated warning in FPN (#5311)
Move model.pretrained to model.backbone.init_cfg (#5370)
Make deployment tools more friendly to use (#5280)
Clarify installation documentation (#5316)
Add ImageNet Pretrained Models docs (#5268)
Add FAQ about training loss=nan solution and COCO AP or AR =-1 (# 5312, #5313)
Change all weight links of http to https (#5328)

Full Changelog: v2.13.0...v2.14.0